CN112908479A - Intelligent classification evaluation method and system for chronic wounds - Google Patents
Intelligent classification evaluation method and system for chronic wounds Download PDFInfo
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- 208000027418 Wounds and injury Diseases 0.000 title claims abstract description 248
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Abstract
The invention discloses an intelligent classification evaluation method and system for chronic wounds, which are used for obtaining first image information and obtaining a first classification parameter of a first wound according to the first image information; obtaining real-time temperature information and real-time humidity information of a first wound; fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter; obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound; acquiring a first acquisition time of the first image information and a second acquisition time of the second image information; obtaining a first healing time difference according to the first acquisition time and the second acquisition time; obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound. The technical problem that chronic wound assessment is not intelligent and inaccurate in the prior art is solved.
Description
Technical Field
The invention relates to the field related to chronic wound assessment, in particular to an intelligent classification assessment method and system for chronic wounds.
Background
The term "chronic wound" is defined by the society of wound healing as a wound that is unable to achieve anatomical and functional integrity through a normally ordered and timely repair process. Clinically, the wound surface formed by various reasons is treated for more than 1 month and fails to heal, and the wound surface does not tend to heal, wherein the limitation of the 1 month is not completely absolute, and the wound surface is divided by a plurality of factors such as wound size, etiology and general health condition of an individual, so that the wound surface cannot be easily limited in time. Chronic wounds are generally classified into 5 types of common types, i.e., venous ulcers, arterial ulcers, diabetic ulcers, traumatic ulcers, and pressure ulcers, and other wounds caused by tumors and connective tissue diseases, such as leprosy.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that chronic wound assessment is not intelligent and inaccurate exists in the prior art.
Disclosure of Invention
The embodiment of the application provides an intelligent classification assessment method and system for chronic wounds, solves the technical problems that chronic wounds are not intelligently and inaccurately assessed in the prior art, achieves intelligent classification assessment for chronic wounds, and achieves the technical effect of more intelligent and accurate assessment.
In view of the above problems, the present application provides an intelligent classification assessment method and system for chronic wounds.
In a first aspect, the present application further provides a method for intelligently classifying and evaluating chronic wounds, the method is applied to an intelligent classification and evaluation system for chronic wounds, the system is communicatively connected to an image acquisition device, and the method includes: obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound; obtaining a first classification parameter of a first wound according to the first image information; obtaining real-time temperature information and real-time humidity information of a first wound; fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter; obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound; acquiring a first acquisition time of the first image information and a second acquisition time of the second image information; obtaining a first healing time difference according to the first acquisition time and the second acquisition time; obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound.
In another aspect, the present application also provides an intelligent classification assessment system for chronic wounds, the system comprising: a first obtaining unit for obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound; a second obtaining unit, configured to obtain a first classification parameter of a first wound according to the first image information; a third obtaining unit for obtaining real-time temperature information and real-time humidity information of the first wound; a fourth obtaining unit, configured to fit the real-time temperature information and the real-time humidity information to obtain a second classification parameter; a fifth obtaining unit for obtaining second image information by the image acquisition device, the second image information including initial image information of the first wound; a sixth obtaining unit configured to obtain a first acquisition time of the first image information and a second acquisition time of the second image information; a seventh obtaining unit for obtaining a first healing time difference according to the first acquisition time and the second acquisition time; an eighth obtaining unit for obtaining a first assessment result based on the first classification parameter, the second classification parameter and the first healing time difference of the first wound.
In a third aspect, the present invention provides a system for intelligently categorically assessing chronic wounds, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the technical effects that the first image information of the first wound is obtained, the first classification parameter of the first wound is obtained based on the image information, the second classification parameter is obtained by fitting the real-time temperature and timely humidity information of the first wound, the second image information is obtained through the acquisition device, the second acquisition time is obtained based on the second image information, the first healing time difference is obtained according to the acquisition time of the first image and the acquisition time of the second image, the first evaluation result is obtained based on the first healing time difference, the first classification parameter and the second classification parameter, the wound is intelligently evaluated based on the classification information, and the evaluation result is more accurate are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of a method for intelligently classifying and evaluating chronic wounds according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an intelligent classification evaluation method for chronic wounds according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a seventh obtaining unit 17, an eighth obtaining unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides an intelligent classification assessment method and system for chronic wounds, solves the technical problems that chronic wounds are not intelligently and inaccurately assessed in the prior art, achieves intelligent classification assessment for chronic wounds, and achieves the technical effect of more intelligent and accurate assessment. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The term "chronic wound" is defined by the society of wound healing as a wound that is unable to achieve anatomical and functional integrity through a normally ordered and timely repair process. Clinically, the wound surface formed by various reasons is treated for more than 1 month and fails to heal, and the wound surface does not tend to heal, wherein the limitation of the 1 month is not completely absolute, and the wound surface is divided by a plurality of factors such as wound size, etiology and general health condition of an individual, so that the wound surface cannot be easily limited in time. Chronic wounds are generally classified into 5 types of common types, i.e., venous ulcers, arterial ulcers, diabetic ulcers, traumatic ulcers, and pressure ulcers, and other wounds caused by tumors and connective tissue diseases, such as leprosy. The technical problem that chronic wound assessment is not intelligent and inaccurate exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an intelligent classification evaluation method for chronic wounds, which is applied to an intelligent classification evaluation system for chronic wounds, wherein the system is in communication connection with an image acquisition device, and the method comprises the following steps: obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound; obtaining a first classification parameter of a first wound according to the first image information; obtaining real-time temperature information and real-time humidity information of a first wound; fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter; obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound; acquiring a first acquisition time of the first image information and a second acquisition time of the second image information; obtaining a first healing time difference according to the first acquisition time and the second acquisition time; obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides an intelligent classification and assessment method for chronic wounds, wherein the method is applied to an intelligent classification and assessment system for chronic wounds, the system is communicatively connected to an image acquisition device, and the method includes:
step S100: obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound;
specifically, the intelligent classification and evaluation system for chronic wounds is a system for performing classification and evaluation on wounds, and the system has the capability of analyzing and processing data, the image acquisition device is a device capable of performing image capture, the device can be a camera, a mobile phone, and other devices, the image acquisition device is in communication connection with the intelligent classification and evaluation system for chronic wounds, real-time image information of the first wound is obtained through the image acquisition device, and the first image information is transmitted to the intelligent classification and evaluation system for chronic wounds for processing.
Step S200: obtaining a first classification parameter of a first wound according to the first image information;
step S300: obtaining real-time temperature information and real-time humidity information of a first wound;
specifically, the first classification parameter of the first wound is obtained according to the first image and through information such as a position, a part, a size, a reason for causing the wound, a current state and the like of the wound, and the first classification parameter includes parameters such as a degree of redness and swelling, a concentration of thick water, a regional range of a chronic wound and the like. The real-time temperature of the first wound is a parameter reflecting real-time temperature change of the wound of the first wound patient, and the real-time humidity is real-time humidity information reflecting information such as the dryness and humidity degree, suppuration and the like of the first wound position.
Step S400: fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter;
specifically, temperature time change points and humidity time change points are obtained according to real-time temperature acquisition information and real-time humidity acquisition information, curve fitting is carried out on the temperature time change points and the humidity time change points through a least square curve fitting method, and second classification parameters for evaluating the first wound are obtained according to a curve fitting result.
Step S500: obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound;
specifically, the image acquisition device is a device for acquiring images, and second image information is acquired by the image acquisition device, where the second image information is initial information of the first wound, that is, image information acquired by the first user at the time of injury, that is, image acquisition is performed on the first user at the initial stage of injury of the first user, and the initial image information of the first user includes information such as the acquisition time, the wound condition of the user, and the injury reason according to the wound condition.
Step S600: acquiring a first acquisition time of the first image information and a second acquisition time of the second image information;
step S700: obtaining a first healing time difference according to the first acquisition time and the second acquisition time;
specifically, the first image information is subjected to image analysis to obtain a first acquisition time of the first image information, the first acquisition time is the acquisition time of the first image, similarly, the second image information is subjected to image analysis to obtain an acquisition time of the second image information, the first acquisition time is the acquisition time of the first image information, the second acquisition time is the acquisition time of the second image information, and a first time difference is obtained according to the first acquisition time and the second acquisition time, wherein the first time difference is a healing time difference.
Step S800: obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound.
Specifically, the condition of the wound is evaluated according to the first classification parameter, the second classification parameter and the first healing time difference, further, humidity and temperature changes are used as evaluation parameters for evaluating the condition of the wound, the first wound is comprehensively evaluated based on humidity, temperature and the first healing time difference, different evaluation criteria of the wound are formulated through different classification parameters, and the technical effect of intelligently evaluating the wound based on classification information and enabling evaluation results to be more accurate is achieved.
Further, the embodiment of the present application further includes:
step S910: performing feature recognition on the first image information to obtain granularity information of the first wound;
step S920: obtaining color information of the first wound according to the first image information;
step S930: and inputting the granularity information and the color information of the first wound into a wound appearance evaluation model to obtain a first classification parameter of the first wound.
Specifically, the granularity reflects a parameter of a degree of smoothness of scab of the wound, the first image information is analyzed to obtain smoothness information of the first wound, that is, the granularity information, the first picture information is analyzed to obtain first color information, the first color information is color information of the first wound, the color information includes information such as an internal color of the wound, a color of a position where the wound is associated with skin, and the like, the color information and the granularity information of the first wound are used as key information for wound evaluation, the granularity information and the color information of the first wound are input to a wound appearance evaluation model, and a first classification parameter of the first wound is obtained by the wound appearance evaluation model. By means of determining the first classification parameters according to the color information and the granularity information, the technical effect of more accurate classification and evaluation of the wound information is achieved.
Further, in the obtaining a first evaluation result according to the first classification parameter, the second classification parameter and the first healing time difference of the first wound, step S800 of the embodiment of the present application further includes:
step S810: classifying the first wound according to the first classification parameter and the second classification parameter to obtain a first classification attribute of the first wound;
step S820: inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model to obtain the first evaluation result.
Specifically, the category attribute is attribute information reflecting properties and relationships of wounds, the first wound is classified according to the first classification parameter and the second classification parameter, further, the wounds are classified according to wound information in the first picture information, namely, information such as red and swollen degree, concentration of thick water, and regional range of chronic wounds, the classification further includes a process of classifying the first wound according to the second classification parameter, namely, classifying the wounds according to humidity information and temperature information at the wound position, a change condition of humidity, a change mode of temperature at the wound, and the like, and the first wound is classified according to the first classification parameter and the second classification parameter, so that the first category attribute is obtained. Inputting the first category attribute and the first healing time into a first chronic wound assessment model, wherein the first chronic wound assessment model is a model for assessing wound healing conditions, and performing classification assessment on the first wound based on the parameters to obtain a first assessment result. The class attribute of the first wound is further evaluated through the first classification parameter and the second classification parameter, more accurate class classification information of the wound is obtained, the healing condition of the first wound is more accurately evaluated according to the class attribute and the healing time, and therefore the technical effect that the wound is intelligently evaluated based on the classification information, and the evaluation result is more accurate is achieved.
Further, the embodiment of the present application further includes:
step S830: obtaining a predetermined healing time threshold;
step S840: classifying the first healing time difference according to the predetermined healing time threshold to obtain a second category attribute of the first wound;
step S850: inputting the first category attribute and the second category attribute into a second chronic wound classification evaluation model to obtain a second evaluation result;
step S860: and obtaining a third evaluation result according to the first evaluation result and the second evaluation result.
Specifically, the predetermined healing time threshold is estimated healing time of a wound obtained after the wound of the first user is evaluated through image information, a current stage of the first wound is evaluated through the healing time threshold and a current wound time of the first wound, a second category attribute of the first wound is obtained according to a difference of a stage where the first wound is located, the first category attribute and the second category attribute are input into a second chronic wound classification evaluation model, the second chronic wound classification evaluation model is also a model for performing wound classification evaluation, the model is obtained through training of a plurality of sets of training data, and each set of the plurality of sets of training data includes: the first category attribute, the second category attribute and the identification information of the identification result are used for training the second chronic wound classification evaluation model through the identification information of the identification result so as to obtain a more accurate model for processing data and further obtain a more accurate second evaluation result, a third evaluation result of the first wound is obtained based on the second evaluation result and the first evaluation result, the first wound is evaluated based on the third evaluation result, and further a more accurate evaluation result of wound healing is obtained.
Further, in the obtaining of the predetermined healing time threshold, step S830 of this embodiment of the present application further includes:
step S831: obtaining size information of the first wound;
step S832: obtaining location information for the first wound;
step S833: obtaining etiological information of a first user, the first user having the first wound;
step S834: obtaining a predetermined healing time threshold based on the size information, the location information, and the etiology information.
Specifically, the size of the first wound is information reflecting the size of the first wound, the first size information of the first wound is obtained by analyzing the second image, the position of the first wound is information of the wound position of the first user, the second size information is also obtained by the second image, and the generation cause of the first wound of the first user, namely how to generate the wound, is obtained by collecting information of the first user. Estimating the healing time of the first wound of the first user according to the generation cause of the first wound, the size and the position information of the wound and the like to obtain a first estimated time, wherein the first estimated time is the preset healing time threshold.
Further, the embodiment of the present application further includes:
step S1010: obtaining medical detection index information of the first user;
step S1020: according to the medical detection index information, evaluating the physical state of the first user to obtain first physical state information;
step S1030: obtaining a first adjustment factor according to the first body state information;
step S1040: and adjusting the third evaluation result according to the first adjustment factor.
Specifically, the medical detection index is an index reflecting the physical quality of the first user, that is, information such as metabolic rate, in-vivo nutritional status, vitamin and trace element content, the physical status of the first user is evaluated through analysis of the relevant measurement index, so as to obtain the physical status information of the first user, a first adjustment factor is obtained according to the physical status information of the first user, the first adjustment factor is an adjustment factor obtained by comprehensively considering the difference between the physical quality of the first user and the physical status of a user with an evaluation artifact standard, and a third result of wound evaluation of the first user is adjusted according to the first adjustment factor.
Further, the inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model, obtaining the first evaluation result, and obtaining a first oxygen amount adjustment instruction, an embodiment of the present application further includes:
step S821: inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model as input information of the first chronic wound classification evaluation model, wherein the first chronic wound classification evaluation model is a model which reaches a convergence state through training of multiple sets of input data, and the multiple sets of input data further comprise identification information for identifying a first evaluation result;
step S822: obtaining output information of the first chronic wound classification assessment model, the output information including the first assessment result.
Specifically, the first chronic wound assessment model is an assessment model constructed based on a neural network, the model is constructed after supervised training of a plurality of groups of supervised data, the supervised training data comprises a first training data set, the data in the first training data set comprises identification information for identifying a first assessment result, and the first chronic wound classification assessment model is supervised and learned according to the identification information, so that the assessment model is higher in processing capacity, more accurate assessment results can be obtained, and a foundation is laid for further subsequent analysis of the first user.
In summary, the intelligent classification and evaluation method and system for chronic wounds provided by the embodiments of the present application have the following technical effects:
1. the technical effects that the first image information of the first wound is obtained, the first classification parameter of the first wound is obtained based on the image information, the second classification parameter is obtained by fitting the real-time temperature and timely humidity information of the first wound, the second image information is obtained through the acquisition device, the second acquisition time is obtained based on the second image information, the first healing time difference is obtained according to the acquisition time of the first image and the acquisition time of the second image, the first evaluation result is obtained based on the first healing time difference, the first classification parameter and the second classification parameter, the wound is intelligently evaluated based on the classification information, and the evaluation result is more accurate are achieved.
2. Due to the fact that the first classification parameter is determined according to the color information and the granularity information, the technical effect of more accurate classification evaluation of the wound information is achieved.
Example two
Based on the same inventive concept as the intelligent classification evaluation method for chronic wounds in the previous embodiment, the invention further provides an intelligent classification evaluation system for chronic wounds, as shown in fig. 2, the system comprises:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first image information through the image acquisition device, where the first image information includes real-time image information of a first wound;
a second obtaining unit 12, wherein the second obtaining unit 12 is configured to obtain a first classification parameter of a first wound according to the first image information;
a third obtaining unit 13, wherein the third obtaining unit 13 is configured to obtain real-time temperature information and real-time humidity information of the first wound;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to fit the real-time temperature information and the real-time humidity information to obtain a second classification parameter;
a fifth obtaining unit 15, wherein the fifth obtaining unit 15 is configured to obtain second image information through the image capturing device, and the second image information includes initial image information of the first wound;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain a first acquisition time of the first image information and a second acquisition time of the second image information;
a seventh obtaining unit 17, the seventh obtaining unit 17 being configured to obtain a first healing time difference according to the first acquisition time and the second acquisition time;
an eighth obtaining unit 18, the eighth obtaining unit 18 being configured to obtain a first assessment result based on the first classification parameter, the second classification parameter and the first healing time difference of the first wound.
Further, the system further comprises:
a ninth obtaining unit, configured to perform feature recognition on the first image information to obtain granularity information of the first wound;
a tenth obtaining unit configured to obtain color information of the first wound from the first image information;
a first input unit for inputting the granularity information and the color information of the first wound into a wound appearance assessment model to obtain a first classification parameter of the first wound.
Further, the system further comprises:
an eleventh obtaining unit, configured to classify the first wound according to the first classification parameter and the second classification parameter, and obtain a first classification attribute of the first wound;
a second input unit for inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model, obtaining the first evaluation result.
Further, the system further comprises:
a twelfth obtaining unit for obtaining a predetermined healing time threshold;
a thirteenth obtaining unit for classifying the first healing time difference according to the predetermined healing time threshold, obtaining a second category attribute of the first wound;
a fourteenth obtaining unit, configured to input the first category attribute and the second category attribute into a second chronic wound classification evaluation model, and obtain a second evaluation result;
a fifteenth obtaining unit configured to obtain a third evaluation result from the first evaluation result and the second evaluation result.
Further, the system further comprises:
a sixteenth obtaining unit for obtaining size information of the first wound;
a seventeenth obtaining unit for obtaining position information of the first wound;
an eighteenth obtaining unit for obtaining etiological information of a first patient, the first patient having the first wound;
a nineteenth obtaining unit for obtaining a predetermined healing time threshold from the size information, the position information, and the etiology information.
Further, the system further comprises:
a twentieth obtaining unit for obtaining medical detection index information of the first patient;
a twenty-first obtaining unit, configured to evaluate a physical state of the first patient according to the medical detection index information, and obtain first physical state information;
a twenty-second obtaining unit, configured to obtain a first adjustment factor according to the first body status information;
a first adjusting unit, configured to adjust the third evaluation result according to the first adjusting factor.
Further, the system further comprises:
a third input unit, configured to input the first category attribute and the first healing time difference as input information of a first chronic wound classification evaluation model, where the first chronic wound classification evaluation model is a model trained to reach a convergence state through multiple sets of input data, and the multiple sets of input data further include identification information for identifying a first evaluation result;
a twenty-third obtaining unit for obtaining output information of the first chronic wound classification evaluation model, the output information comprising the first evaluation result.
Various changes and specific examples of the method for intelligently and separately evaluating a chronic wound in the first embodiment of fig. 1 are also applicable to the system for intelligently and separately evaluating a chronic wound in the present embodiment, and a person skilled in the art can clearly know the method for implementing the system for intelligently and separately evaluating a chronic wound in the present embodiment from the foregoing detailed description of the method for intelligently and separately evaluating a chronic wound, so for the sake of brevity of the description, detailed descriptions thereof are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the intelligent classification assessment method for chronic wounds in the foregoing embodiments, the present invention further provides an intelligent classification assessment system for chronic wounds, which has a computer program stored thereon, and when the program is executed by a processor, the program realizes the steps of any one of the foregoing intelligent classification assessment methods for chronic wounds.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides an intelligent classification evaluation method for chronic wounds, which is applied to an intelligent classification evaluation system for chronic wounds, wherein the system is in communication connection with an image acquisition device, and the method comprises the following steps: obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound; obtaining a first classification parameter of a first wound according to the first image information; obtaining real-time temperature information and real-time humidity information of a first wound; fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter; obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound; acquiring a first acquisition time of the first image information and a second acquisition time of the second image information; obtaining a first healing time difference according to the first acquisition time and the second acquisition time; obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound. The technical problems that assessment of the chronic wounds is not intelligent and inaccurate in the prior art are solved, intelligent classification assessment of the chronic wounds is achieved, and the technical effect that assessment is more intelligent and accurate is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An intelligent classification assessment method for chronic wounds, wherein the method is applied to an intelligent classification assessment system for chronic wounds, the system is in communication connection with an image acquisition device, and the method comprises the following steps:
obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound;
obtaining a first classification parameter of a first wound according to the first image information;
obtaining real-time temperature information and real-time humidity information of a first wound;
fitting the real-time temperature information and the real-time humidity information to obtain a second classification parameter;
obtaining, by the image acquisition device, second image information, the second image information including initial image information of a first wound;
acquiring a first acquisition time of the first image information and a second acquisition time of the second image information;
obtaining a first healing time difference according to the first acquisition time and the second acquisition time;
obtaining a first assessment result based on the first classification parameter, the second classification parameter, and the first time to healing difference for the first wound.
2. The method of claim 1, wherein the method further comprises:
performing feature recognition on the first image information to obtain granularity information of the first wound;
obtaining color information of the first wound according to the first image information;
and inputting the granularity information and the color information of the first wound into a wound appearance evaluation model to obtain a first classification parameter of the first wound.
3. The method of claim 1, wherein said obtaining a first assessment based on a first classification parameter, a second classification parameter, and the first time to healing difference for the first wound comprises:
classifying the first wound according to the first classification parameter and the second classification parameter to obtain a first classification attribute of the first wound;
inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model to obtain the first evaluation result.
4. The method of claim 3, wherein the method comprises:
obtaining a predetermined healing time threshold;
classifying the first healing time difference according to the predetermined healing time threshold to obtain a second category attribute of the first wound;
inputting the first category attribute and the second category attribute into a second chronic wound classification evaluation model to obtain a second evaluation result;
and obtaining a third evaluation result according to the first evaluation result and the second evaluation result.
5. The method of claim 4, wherein said obtaining a predetermined healing time threshold comprises:
obtaining size information of the first wound;
obtaining location information for the first wound;
obtaining etiological information of a first user, the first user having the first wound;
obtaining a predetermined healing time threshold based on the size information, the location information, and the etiology information.
6. The method of claim 5, wherein the method comprises:
obtaining medical detection index information of the first user;
according to the medical detection index information, evaluating the physical state of the first user to obtain first physical state information;
obtaining a first adjustment factor according to the first body state information;
and adjusting the third evaluation result according to the first adjustment factor.
7. The method of claim 3, wherein said inputting said first category attribute and said first healing time difference into a first chronic wound classification evaluation model, obtaining said first evaluation result, comprises:
inputting the first category attribute and the first healing time difference into a first chronic wound classification evaluation model as input information of the first chronic wound classification evaluation model, wherein the first chronic wound classification evaluation model is a model which reaches a convergence state through training of multiple sets of input data, and the multiple sets of input data further comprise identification information for identifying a first evaluation result;
obtaining output information of the first chronic wound classification assessment model, the output information including the first assessment result.
8. An intelligent triage assessment system for chronic wounds, wherein the system comprises:
a first obtaining unit for obtaining first image information by the image acquisition device, the first image information comprising real-time image information of a first wound;
a second obtaining unit, configured to obtain a first classification parameter of a first wound according to the first image information;
a third obtaining unit for obtaining real-time temperature information and real-time humidity information of the first wound;
a fourth obtaining unit, configured to fit the real-time temperature information and the real-time humidity information to obtain a second classification parameter;
a fifth obtaining unit for obtaining second image information by the image acquisition device, the second image information including initial image information of the first wound;
a sixth obtaining unit configured to obtain a first acquisition time of the first image information and a second acquisition time of the second image information;
a seventh obtaining unit for obtaining a first healing time difference according to the first acquisition time and the second acquisition time;
an eighth obtaining unit for obtaining a first assessment result based on the first classification parameter, the second classification parameter and the first healing time difference of the first wound.
9. An intelligent triage assessment system for chronic wounds, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1-7 when executing the program.
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